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- 1Amiri, Mohammad Saeid
- 1Barczyk, Martin
- 1Barnett, Ryan M.
- 1Boroomand, Arefeh
- 1Brayall, Michael
- 1Caverhill-Godkewitsch, Saul A.
Neural networks modelling of stream nitrogen using remote sensing information: model development and applicationDownload
In remotely located forest watersheds, monitoring nitrogen (N) in streams often is not feasible because of the high costs and site inaccessibility. Therefore, modelling tools that can predict N in unmonitored watersheds are urgently needed to support management decisions for these watersheds....
Increasing wildfire growth modelling decision support using ensemble weather forecasts over the province of Alberta, CanadaDownload
Across Alberta, wildfires ignite each fire season and a small number achieve a size greater than 100 hectares, which account for the vast majority of the area burned. These fires often require large suppression efforts that include wildfire growth simulation modelling in order to understand their...
Biological engineering is a domain of study that involves applying known engineering principles to biological systems. Qualitative studies in the field of biology have undergone tremendous advancements in the last two decades but quantitation is still in its early stages due to various...
Surface runoff can be the largest component of the surface water budget that controls the quantity of precipitation that could infiltrate through a soil cover into underlying waste material. Site-specific models are routinely used to predict infiltration; however, the direct measurement of...
Experimentally-validated nonlinear flight control of a helicopter UAV has two necessary conditions: an estimate of the vehicle’s states from noisy multirate output measurements, and a nonlinear dynamics model with minimum complexity, physically controllable inputs and experimentally identified...
The infrastructure necessary to support diagnostic and pathogen-detection processes does not exist in some regions of the world that need it most. Access to fast, inexpensive and portable diagnostic infrastructure could be a solution to this problem. Next generation lab-on-chip (LOC) systems that...
Time consuming offline laboratory analysis and high cost hardware measurement techniques render difficulties in obtaining the important quality variables in real time application. Near-infrared (NIR) spectroscopy is widely used as a process analytical tool (PAT) in chemical processes, providing...
Evaluating the process performance of mining and petroleum operations requires numerical geological models of many related rock properties or variables. Taken together, they provide a characterization of the geologic deposit that forms the basis for engineering design and decision making. Complex...
Enhancing space modeling and mobile resources planning in construction operations through a simulation driven visualization frameworkDownload
Simulation modeling is a strong tool that has not been utilized to its expected potential in day to day construction industry activities. One of the reasons contributing to that is the inability of simulation models to depict changes in site space in an intuitive way. This research tries to...
Finite Element Model of the Thermal Profile During Submerged Arc Welding with One and Two ElectrodesDownload
The submerged-arc welding (SAW) process is used extensively in the manufacturing of pipes. The heat flow introduced by the welding operation has a significant impact on the properties of both the weld metal and the heat affected zone (HAZ). The work presented in this thesis aims to develop a...